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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Skin Cancer Detection Using Deep Learning—A Review
Maryam Naqvi, Syed Qasim Gilani, Tehreem Syed, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1911-1911
Open Access | Times Cited: 55

Showing 26-50 of 55 citing articles:

A Framework for Skin Cancer Prediction Using CNN Ensembles
Wieslaw Samushonga, Rakesh Kumar, Meenu Gupta, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Özel Derin Konvolüsyonel Sinir Ağı Kullanarak Cilt Kanseri Tanıma
Alhaji BALLA FOFANAH, Emre Özbılge, Yönal Kırsal
Çukurova Üniversitesi Mühendislik Fakültesi Dergisi (2023) Vol. 38, Iss. 3, pp. 787-797
Open Access | Times Cited: 2
Retinal Diseases Classification System Using OCT Images Combined with CNN Models
Fatma Dhaoui, Amira Zrelli
2022 International Symposium on Networks, Computers and Communications (ISNCC) (2023)
Closed Access | Times Cited: 2
Multidirectional Analysis of Curvelet Against Skin Cancer
Maheshkumar H. Kolekar, V. V. Lakshmi, Abdul Razak Mohamed Sikkander, et al.
Research Square (Research Square) (2024)
Open Access
Skin Cancer Diagnosis: Integrating CNN and Machine Learning Models
Purvi Rawal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 03, pp. 1-5
Open Access
Innovative Way of Identifying Skin Cancer Model Design with FCNN and LSTM
Addanki Janardhana Rao, M. Raja Babu, Guttula DurgaRao, et al.
(2024), pp. 287-291
Closed Access
Pixel Based Multi Class Skin Cancer Classification using Convolutional Neural Network
P. R. S. S.Venkatapathi Raju, M. Manoj Kumar, Mugada Raju, et al.
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 298-305
Open Access
An Efficient Cancer Detection Model Using ML and Transfer Learning Techniques
Raja Rao PBV, M. H. M. Krishna Prasad, Pokkuluri Kiran Sree, et al.
(2024), pp. 1-6
Closed Access
A Comprehensive Approach to Classify the Skin Cancer Disease Using Latest CNN Model (YOLOv8)
Priya Sen Purkait, Nandan Ghosh, S. Dey, et al.
Advances in intelligent systems and computing (2024), pp. 159-169
Closed Access
MSCC: Multi-Class Skin Cancer Classification and Interpretable Deep Learning Systems
Sana Ulla, Mohammad Abu Yousuf
(2024), pp. 735-740
Closed Access
A CNN-Based Approach For The Detectıon Of Skın Cancer
S. Sahu, V. S. Lakshmi Bhargavi, Kunchala Keerthi, et al.
Advances in computer science research (2024), pp. 98-108
Open Access
Skin melanoma detection and classification with deep learning
T Pooja, H. N. Prakash
Global Journal of Engineering and Technology Advances (2024) Vol. 20, Iss. 1, pp. 242-252
Open Access
A Large Dataset to Enhance Skin Cancer Classification With Transformer-Based Deep Neural Networks
Mirco Gallazzi, Sara Biavaschi, Alessandro Bulgheroni, et al.
IEEE Access (2024) Vol. 12, pp. 109544-109559
Open Access
Adversarial Training Based Domain Adaptation of Skin Cancer Images
Syed Qasim Gilani, Muhammad Umair, Maryam Naqvi, et al.
Life (2024) Vol. 14, Iss. 8, pp. 1009-1009
Open Access
Skin Cancer Detection Based on Transfer Learning Techniques
Abdelkader Alrabai, Amira Echtioui, Fathi Kallel
(2024), pp. 8-13
Closed Access
Skin Cancer Diagnosis Using VGG16 and Transfer Learning: Analyzing the Effects of Data Quality over Quantity on Model Efficiency
Khamsa Djaroudib, Pascal Lorenz, Rime Belkacem Bouzida, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7447-7447
Open Access
Deep Learning-Based Multiple Skin Lesion Classification
Sebastian-Aurelian Ștefănigă, Iasmina Cernăianu, Todor Ivașcu
IFMBE proceedings (2024), pp. 792-800
Closed Access
Quality by design (QbD) based approach for development of itraconazole loaded transferosomes for skin cancer: In vitro, ex vivo and cell line studies
Priya Kudi, Srijita Sen, Satyajit Laxman Murkute, et al.
Drug Development and Industrial Pharmacy (2024), pp. 1-14
Closed Access
RvXmBlendNet: A Multi-architecture Hybrid Model for Improved Skin Cancer Detection
Farida Siddiqi Prity, Ahmed Jabid Hasan, Md Mehedi Hassan Anik, et al.
Human-Centric Intelligent Systems (2024)
Open Access
Automized Quick Prediction of Skin Cancer Diagnosis by Enhanced Deep Convolutional Neural Network
V. S. Jeyalakshmi, Nagarajan Shunmugam, M. Kavitha, et al.
Communications in computer and information science (2024), pp. 292-302
Closed Access
Detection of Melanoma Insitu Using Trained CNN Model
R. SethuMadhavi, Anitha Premkumar, T. Y. Satheesha, et al.
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access
Enhanced skin cancer diagnosis: a deep feature extraction-based framework for the multi-classification of skin cancer utilizing dermoscopy images
Hadeel Alharbi, Gabriel Avelino Sampedro, Roben A. Juanatas, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access
Going Smaller: Attention-based models for automated melanoma diagnosis
Sana Nazari, Rafael García
Computers in Biology and Medicine (2024) Vol. 185, pp. 109492-109492
Open Access
Decoding skin cancer classification: perspectives, insights, and advances through researchers’ lens
Amartya Ray, Sujan Sarkar, Friedhelm Schwenker, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
ADVANCED SKIN CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS AND TRANSFER LEARNING
Emrah Aslan, Yıldırım ÖZÜPAK
Middle East Journal of Science (2024)
Open Access

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